Biblioteca Especializada
La Biblioteca del Banco Central del Uruguay se fundó en 1967, integrándose con una colección de libros proveniente del Banco de la República, que se ha ido incrementando a través de los años, hasta llegar en el momento actual a 7.700 volúmenes aproximadamente, 200 títulos de publicaciones periódicas, bases de datos en CD Rom, publicaciones de organismos nacionales e internacionales y publicaciones producidas por el Banco Central.
La Biblioteca está especializada en Economía, poniendo el énfasis en monetaria, finanzas, estadística, econometría y teoría económica. Además, apoya al Banco Central en sus funciones y está abierta a investigadores externos a la Institución, profesionales y estudiantes de Economía y Finanzas.
Survival analysis
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Contenido :
Life testing and reliability estimation under asymmetric loss
Bayesian computations in survival models via the Gibbs sampler
Bayesian nonparametric survival analysis : a comparison of the Kaplan-Meier and Berliner-Hill estimators
Modelling time-varying hazards and covariate effects
Analysis of trials with treatment - individual interactions
Assessment of dependence in the life times of twins
Estimating random effects in the framingham heart study
Survival analysis in genetics : Danish twin data applied to a gerontological question
Some issues in the collection and analysis of field reliability data
Bayesian modelling for fatigue crack curves
Statistical analysis of a weibull process with left-censored data
Kernel density estimation from record-breaking data
Semiparametric estimation of parametric hazard rates
Cox-type regression analysis for large numbers of small groups of correlated failure time observations
Imformation bounds for the additive and multiplicative intensity models
Survival analysis for left censored data
Regression analysis for discrete and continuous truncated and eventually censored data
Independent delayed entry
Periodic inspections in a longitudinal study : viewing occult tumors through a filter
Survival under multiple time scales in dynamic environments
Nonparametric identifiability of marginal survival distributions in the presence of dependent competing risks and a prognostic covariate
Frailty models for multiple event times
A nonparametric approach to dependence for bivariate censored data
Marginal and conditional models for the analysis of multivariate failure time data
Multivariate failure time analysis : discussion of papes by Oakes - Pons, Kaddour and De Turckheim - Prentice and Cai
Survivor functions as dependent variables in demographic
Relation between the rate of return to tenure, earnings growth and job switching
Life testing and reliability estimation under asymmetric loss
Bayesian computations in survival models via the Gibbs sampler
Bayesian nonparametric survival analysis : a comparison of the Kaplan-Meier and Berliner-Hill estimators
Modelling time-varying hazards and covariate effects
Analysis of trials with treatment - individual interactions
Assessment of dependence in the life times of twins
Estimating random effects in the framingham heart study
Survival analysis in genetics : Danish twin data applied to a gerontological question
Some issues in the collection and analysis of field reliability data
Bayesian modelling for fatigue crack curves
Statistical analysis of a weibull process with left-censored data
Kernel density estimation from record-breaking data
Semiparametric estimation of parametric hazard rates
Cox-type regression analysis for large numbers of small groups of correlated failure time observations
Imformation bounds for the additive and multiplicative intensity models
Survival analysis for left censored data
Regression analysis for discrete and continuous truncated and eventually censored data
Independent delayed entry
Periodic inspections in a longitudinal study : viewing occult tumors through a filter
Survival under multiple time scales in dynamic environments
Nonparametric identifiability of marginal survival distributions in the presence of dependent competing risks and a prognostic covariate
Frailty models for multiple event times
A nonparametric approach to dependence for bivariate censored data
Marginal and conditional models for the analysis of multivariate failure time data
Multivariate failure time analysis : discussion of papes by Oakes - Pons, Kaddour and De Turckheim - Prentice and Cai
Survivor functions as dependent variables in demographic
Relation between the rate of return to tenure, earnings growth and job switching
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| Código de barras | Signatura | Tipo de medio | Ubicación | Sección | Estado |
|---|---|---|---|---|---|
| 34342 | 519.55 KLEs | Libro | Biblioteca Especializada | Colección general | Disponible |
